An open API service indexing awesome lists of open source software.

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/franciscomartinez45/Social-Network-Analysis

Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network

matplotlib ml networkx numpy pytorch

Last synced: 11 Apr 2025

https://github.com/dmarks84/ind_project_data-science-london-scikit-learn--kaggle

Independent Project - Kaggle Competition -- I worked on the Data Science London data set for the Data Science London + Scikit-learn competition.

classification cross-validation data-modeling data-reporting data-visualization dataframes eda grid-search matplotlib numpy pandas python sklearn statistics supervised-ml

Last synced: 06 Apr 2026

https://github.com/kenwuqianghao/ml-zoomcamp

Code and homework for ML Zoomcamp

machinelearning numpy pandas python3 tensorflow

Last synced: 06 Apr 2026

https://github.com/shambac/shamboflow

Fierce tensorflow competitor

cuda cupy machine-learning numpy pypi-package

Last synced: 19 Feb 2026

https://github.com/mzayles/vendas_ficticias_dataprep

💻📊✅ Curso de Programação em Python para Data Science | Analisando e tratando dados fictícios.

numpy pandas python

Last synced: 15 Jun 2025

https://github.com/mallocode300/colour_palette_generator

Upload an image and immediately obtain a colour palette with the 10 most common colors in HEX codes and RGB

numpy python

Last synced: 29 Jul 2025

https://github.com/morsalinislamshapon/diabetes-prediction-systemv3

This repository contains a machine learning model that predicts diabetes using user health data. It features an interactive web interface built with Streamlit and provides insights into model predictions through SHAP and permutation importance. 🐙🌟

jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp

Last synced: 29 Jul 2025

https://github.com/mgitrov/coce

A deep learning-based project aiming to classify images out of 10 classes.

computer-vision convolutional-neural-networks deep-learning docker fastapi keras matplotlib numpy pillow regularization

Last synced: 06 Apr 2026

https://github.com/eesunmoon/genai_cor-recom

[Project] Outfit Coordination Recommender System using KoAlpaca

data-analysis fine-tuning generative-ai huggingface keyword llm numpy pandas python python3 selenium

Last synced: 06 Apr 2026

https://github.com/lfgodoi/rpm-deep-guesser

A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.

condition-monitoring deep-learning docker flask machine-learning neural-networks numpy python pytorch scipy signal-processing spectral-analysis

Last synced: 02 Mar 2025

https://github.com/shreyasdankhade/portfolio_optimatization_project

The Portfolio Optimization Project uses optimization techniques to balance risk and return, helping investors make efficient asset allocation decisions.

flask flask-application matplotlib numpy pandas pandas-python porfolio-optimization portfolio python

Last synced: 06 Apr 2026

https://github.com/arjunravi26/glucose-monitoring

Glucose Monitoring system to monitor patients and notify whenever glucose goes high.

machine-learning numpy pandas plotly python3 streamlit xgbboostregressor

Last synced: 30 Jul 2025

https://github.com/nathadriele/transaction_fraud_prevention_pipeline

Uma solução de detecção e prevenção de fraudes em transações financeiras, combinando Machine Learning, regras de negócio e análises estatísticas avançadas. O sistema oferece um dashboard interativo para monitoramento em tempo real, análise de dados e gestão de alertas de fraude.

data-analysis data-visualization docker fraud-prevention machine-learning matplotlib numpy pandas pipeline pytest python scikit-learn scipy seaborn streamlit tensorflow transaction xgboost

Last synced: 10 Apr 2026

https://github.com/hadson0/dip-candy-classification

Candy classification project using digital image processing. Includes dataset creation, model development, and evaluation tools with TensorFlow, OpenCV, and Albumentations. Complete setup and instructions provided for building and training the model.

albumentations bounding-boxes cnn computer-vision cvat image-classification image-processing keras machine-learning matplotlib numpy opencv python seaborn sklearn tensorflow

Last synced: 29 Sep 2025

https://github.com/zeeshan4002911/data-analysis-hub

Quality control, data processing, data cleaning, data ploting

jupyter-notebook jupyterlab matplotlib numpy pandas seaborn

Last synced: 03 May 2026

https://github.com/ledsouza/MedPhys-BI

Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA

aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml

Last synced: 22 Sep 2025

https://github.com/mogankumar/covid-19-classification

A deep learning-based project that classifies chest X-ray images into Normal, COVID-19, and Viral Pneumonia using a two-layer CNN architecture. Achieves high accuracy and demonstrates potential for aiding in early diagnosis and treatment of COVID-19.

keras-tensorflow matplotlib numpy python3

Last synced: 11 May 2026

https://github.com/youssefali11997/free-style-coding

Scripts written as practice, trying new technology or just playing with the code !

bash javascript numpy python3 ruby-on-rails scripts vuejs

Last synced: 12 Apr 2026

https://github.com/t-lak/decision-tree

This project implements a basic Decision Tree classifier. It supports visualizing the tree and calculating performance metrics (accuracy, precision, F1-score, and recall).

decision-trees graphviz metrics numpy python3 scikit-learn

Last synced: 07 May 2026

https://github.com/abeed04/face-recognition-using-computer-vision-cv2

OpenCV (cv2) can be used for face recognition by detecting faces, extracting facial features, and comparing them to a database of known faces.

cmake cv2-library dlib-face-recognition face-recognition flask numpy pycharm-ide python

Last synced: 08 Feb 2026

https://github.com/harsha-yuvaraj/Data-Compression-and-Decompression-Tool

A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.

data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter

Last synced: 02 May 2025

https://github.com/elijahondiek/shadowcoach-formtracker

A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.

mediapipe-pose numpy opencv-python

Last synced: 18 Apr 2026

https://github.com/justinzhang17/comp-5801-queens

Reinforcement learning task of teaching an agent to play the game queens/star-battle

gymnasium numpy pygame python

Last synced: 15 May 2026

https://github.com/Marvin-VW/3dengine_python

3D engine written in Python using OpenCV and NumPy

3dengine numpy opencv python

Last synced: 29 Sep 2025

https://github.com/gilevatanya/yandex-practicum-projects

Кейсы решенные на курсах Яндекс Практикума.

bert bootstrap catboost keras lightgbm matplotlib nltk numpy pandas postgresql python pytorch scikit-learn scipy seaborn sql

Last synced: 06 Jan 2026

https://github.com/valmir-unicap/deteccao-de-mascaras-faciais

Experimento baseado no artigo: A Face Mask Detection Algorithm Based on YOLO

kaggle-dataset mobilenetv2 numpy opencv python torch yolo

Last synced: 12 Apr 2026

https://github.com/werctfourth/python-border-autocrop2

Python script that crops borders from images v2

border crop image-processing libvips numba numpy python python3

Last synced: 17 May 2026

https://github.com/sejalmankar1012/customer_churn

The goal of this project was to develop a machine learning model that predicts customer churn based on historical customer data.

dataset deep-learning deployment machine-learning model-building modeling numpy optimization pandas seaborn streamlit tensorflow

Last synced: 05 Apr 2026

https://github.com/lovesaroha/learning-neural-networks

Various concepts of neural networks applied in python (numpy) to help people get started with AI.

batch-normalization dropout gradient-descent logistic-regression neural-network numpy python regularization

Last synced: 08 May 2026

https://github.com/giacomolat/realestateai-solutions---a-forecasting-model-for-the-housing-market

This project applies regularization techniques (Ridge, Lasso, and Elastic Net) to improve real estate price forecasting. This project focuses on reducing overfitting and increasing the stability of regression models' predictions

cross-validation elasticnet-regression lasso-regression-model machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas python regularization-methods regularization-to-avoid-overfitting ridge-regression-model seaborn standardization

Last synced: 01 May 2026

https://github.com/vigneshvaranasi/breast_cancer_detection

This project employs machine learning, focusing on Logistic Regression, to detect breast cancer using tumor-related features. The dataset is preprocessed, and the model achieves 100% accuracy on the test set. The goal is to gain insights into breast cancer factors and provide an effective detection solution.

jupyter machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/darkdk123/handwashing-discovery-analysis

A Guided Project in a Boot camp to Analyse the Original Data used in the Discovery of Viruses & Hand Washing By Dr. Ignaz Semmelweis in Vienna General Hospital in the 1840s.

data-analysis data-science data-visualization matplotlib-pyplot numpy pandas plotly-python python seaborn-plots

Last synced: 09 Apr 2026

https://github.com/sakshithbillava/expense-manager

A web-based expense tracking app built with Python and Streamlit, featuring real-time updates, data visualization, user authentication, and MongoDB integration.

authentication data-visualization expense-manager matplotlib mongodb numpy pandas personal-finance python streamlit webapp

Last synced: 09 Apr 2026

https://github.com/nagipragalathan/python_tutorial_for_data-science

This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.

datascience datavisualization deeplearning jupyter jupyter-notebook learning-by-doing learningresources machinelearning matplotlib numpy opensource pandas python python-script python3 pytorch pytorch-implementation scikitlearn tutorial

Last synced: 09 Apr 2026

https://github.com/muavia1/roman-urdu-poetry-generation-using-lstm

Here’s a short description you can add to your GitHub project: Roman Urdu Poetry Generator A deep learning project using LSTM and TensorFlow to generate Roman Urdu poetry. Trained on a poetry dataset and deployed with a Gradio interface for interactive text generation.

deep-learning gradio gradio-interface lstm model-training numpy pandas poetry-generator python tensorflow

Last synced: 09 Apr 2026

https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/chernyakid/russian-film-distribution

Исследование российского кинопроката

jupyter numpy pandas python seaborn

Last synced: 15 May 2026

https://github.com/trivediayush/accident-and-drowsiness-detection

Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.

accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8

Last synced: 09 Apr 2026

https://github.com/dmarks84/ind_project_european-soccer-top-points-contributors--kaggle

Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.

data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test

Last synced: 09 Apr 2026

https://github.com/ourway/simple-cnn

A simple CNN implementation using numpy

convolutional-neural-networks numpy

Last synced: 10 May 2026

https://github.com/mr-chang95/twitter_datawrangling

Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program

data-visualization data-wrangling dogs matplotlib numpy pandas python twitter

Last synced: 09 Apr 2026

https://github.com/blinksta1ker/co2-prediction

EDA and Supervised ML model using Regression to predict Co2 Emissions from Vehicles

jupyter-notebook machine-learning numpy pandas python regression seaborn sklearn supervised-learning

Last synced: 09 Apr 2026

https://github.com/dpgitaccount/project-customer-segmentation-analysis-with-power-bi

This project segments customers based on their purchasing behavior to identify different target groups. It demonstrates skills in data analysis, clustering, and visualization using Power BI.

kmeans-clustering-algorithm linear-regression numpy pandas powerbi python seaborn segmentation

Last synced: 09 Apr 2026

https://github.com/hansalemaos/npsearchsequence

Sequence / string search with NumPy

fast numpy search sequence string

Last synced: 19 May 2026

https://github.com/klima7/numpynet

Convolutional Neural Network written from scratch using numpy with API similar to tensorflow.

cnn convolution network nn numpy scratch tensorflow

Last synced: 24 Sep 2025

https://github.com/alejoduarte23/fast_fdd

Fast implementation of frequency domain decomposition (FDD) in python with multiple identification techniques

numpy scipy-signal

Last synced: 10 May 2026

https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray

The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.

classification cnn covid flask keras numpy pandas tensorflow

Last synced: 09 Apr 2026

https://github.com/ashar97/advanced-machine-learning

Advanced Machine Learning MOOC Specialisation Assignments

keras numpy python3 tensorflow

Last synced: 09 Apr 2026

https://github.com/0xunkn0wn4m1r/data_engineering_banking_project

🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.

automation data-analysis data-cleaning data-science feature-engineering fintech-bank flask-api loan-default-prediction machine-learning mlops model-explainability numpy postgresql scikit-learn segmentation shap sql unsupervised-learning

Last synced: 09 Apr 2026

https://github.com/jjwizardmp/gallery-art-problem

Resolve the Gallery Art Problem implement BFS and Delaunay Triangulation

jupyter jupyter-notebook jupyterlab mathplotlib numpy pandas python python-env python3 scipy shapely

Last synced: 09 Apr 2026

https://github.com/paul-bokelman/nn

Basic neural network in python

machine-learning neural-networks numpy python

Last synced: 09 May 2026

https://github.com/rezapace/machine-learning-sound-detection

Welcome to the Machine Learning Detection Sound project! This project harnesses the power of machine learning to analyze car sounds, enabling the detection of vehicles based on their audio signatures.

colab-notebook googlecolab jupyter-notebook machine-learning numpy pathlib python python3 sound source tensorflow voice voice-recognition

Last synced: 09 Apr 2026

https://github.com/niteshchawla/delhivery-featureengineering

The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.

feature-engineering hypothesis-testing matplotlib-pyplot numpy pandas-python scipy-stats seaborn

Last synced: 14 May 2026

https://github.com/sunilvarma-l/zomato-data-analysis-using-python

its a Python-based project to analyze and visualize Zomato restaurant data. This project explores various aspects of restaurant data, such as customer reviews, restaurant ratings, locations, and cuisines, with the aim of uncovering insights and trends in the food industry.

googlecollab matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/mrandolph95/grad-projects

Projects completed during my ASU grad program for Social Data Science.

beautifulsoup nltk numpy pandas regression-analysis sckiit-learn seaborn selenium

Last synced: 09 Apr 2026

https://github.com/kiok46/subset-sum-problem

Solving the Subset Sum Problem using Python, Pandas and Numpy.

numpy pandas python subset-sum

Last synced: 05 May 2026

https://github.com/oaerobert/python-for-finance

Implementations of financial mathematics and statistics using the "Python for Finance" textbook. Includes Monte Carlo simulations, predictive stock prices using ML strategies and real world data visualisations.

matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/waghraj1699/codeclauseinternship_customer_segmentation_tool

Implementing customer segmentation using ML, covering exploring advantages, preprocessing, K-means clustering, and visualization.

data-preprocessing kmeans-clustering machine-learning numpy pandas visualization

Last synced: 08 May 2026

https://github.com/iv4n-ga6l/simple-image-segmentation

Simple implementation of image segmentation using the Watershed algorithm

imagesegmentation matplotlib numpy opencv python watershed-algorithm

Last synced: 13 May 2026

https://github.com/bagusperdanay7/absa-with-bilstm-undergraduate-thesis

My undergraduate thesis program, Aspect-Based Sentiment Analysis Towards Matket Place Application Review Using Bidirectional Long Short-Term Memory used Python, Keras and Tensorflow

ai aspect-based-sentiment-analysis bilstm deep-learning gensim imbalanced-learning ipython-notebook keras machine-learning matplotlib natural-language-processing nltk numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/niteshchawla/aerofit-casestudy

The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.

matplotlib-pyplot numpy pandas probability python seaborn statistics

Last synced: 09 Apr 2026

https://github.com/mrmalik2512/catsvsdog.github.io

A CNN model integrated with flask backend the project is trained on image data of dogs and cats and integrated with a website predicts the given image is dog or a cat

deep-learning numpy python scikit-learn tensorflow

Last synced: 09 Apr 2026

https://github.com/lefteris-souflas/modern-slavery-analysis

Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.

decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/jahanostg/healthguard_with-smart-ai-diagnosis-hub

This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.

css flask-api google-colaboratory-notebooks html5 js machine-learning mysql numpy pandas pkl-model powerbi python-3

Last synced: 09 Apr 2026

https://github.com/clchinkc/zombie

Personal project, Python, NumPy, Matplotlib, Pygame, Scikit-learn, TensorFlow, Docker

algorithms data-analysis docker machine-learning matplotlib numpy pygame python sklearn tensorflow zombie-simulation

Last synced: 05 Apr 2026

https://github.com/xkomil/datasciencesummerstudy

I want to document in this repository all my studying data science topics

data-science data-visualization machine-learning meteostat numpy pandas seaborn sklearn streamlit-webapp

Last synced: 05 May 2026

https://github.com/ondiekelijah/data-analysis-udacity

Udacity Data Analysis Nano Degree course resources

jupyter-notebook matplotlib numpy pandas python

Last synced: 17 Mar 2025

https://github.com/adijo/multilayeredperceptron

An implementation of a multi-layered perceptron.

deep-learning machine-learning numpy

Last synced: 01 May 2026

https://github.com/jpgiant/training_project

Analyzing whether there is a difference between the average death ages of left handers and right handers using Bayesian Conditional Probability Theorem.

bayesian-statistics data-analysis data-visualization numpy pandas-dataframe python

Last synced: 30 Apr 2026

https://github.com/jalijuhola/amazon-textual-reviews-recommender-

predicting score and recommending using amazon textual reviews

numpy pandas python scikit-learn typescript

Last synced: 09 Apr 2026

https://github.com/ananupam/eda-stock_market

An Exploratory Data Analysis project done on Financial data read from a search engine (yahoo) to predict the trends of stocks of 4 Tech companies.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 06 May 2026

https://github.com/josafatburmeister/circle_detection

A Python package for circle fitting.

circle numpy objectdetection pointcloud python

Last synced: 09 Apr 2026

https://github.com/vipinchaudhary31122002/valuevanguard

ValueVanguard is a machine learning project for accurate house price predictions. Using advanced algorithms and real-world data, it empowers users to analyze and forecast property values efficiently. Perfect for developers, data enthusiasts, and real estate professionals. 🏠📈

machine-learning matplotlib numpy pandas python sklearn streamlit

Last synced: 12 Apr 2026

https://github.com/estaheri7/dotawinpredictor

This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams

data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines

Last synced: 09 Mar 2026